Investment Experience, Financial Literacy, and Investment‐Related Judgments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT This research examines how investment experience and financial literacy impact investment‐related judgments. Financial literacy refers to a person's knowledge of fundamental financial concepts. I begin by documenting investors' demographic characteristics and financial literacy using a relatively large sample of participants ( n > 2,000) recruited from Amazon's Mechanical Turk under different categories of investment experience, which I benchmark against national samples of financial capability skills in the United States. I then replicate a sample of three accounting research experiments, varying the type and depth of the underlying accounting issue. Across the three experiments, the data show two main results: First, investment experience strengthens the influence of financial accounting disclosures on participants' investment‐related judgments. Second, financial literacy further strengthens the influence of financial accounting disclosures on investors' (but not noninvestors') judgments. Collectively, these findings suggest that investment experience and financial literacy can help to identify individuals who are more likely to be able and willing to study financial reporting information with reasonable diligence as they form their investment‐related judgments.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it